• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.75-81
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• 2004

Signature based intrusion detection system (IDS), having stored rules for detecting intrusions at the library, judges whether new inputs are intrusion or not by matching them with the new inputs. However their policy has two restrictions generally. First, when they couldn`t make rules against new intrusions, false negative (FN) errors may are taken place. Second, when they made a lot of rules for maintaining diversification, the amount of resources grows larger proportional to their amount. In this paper, we propose the learning algorithm which can evolve the competent of anomaly detectors having the ability to detect anomalous attacks by genetic algorithm. The anomaly detectors are the population be composed of by following the negative selection procedure of the biological immune system. To show the effectiveness of proposed system, we apply the learning algorithm to the artificial network environment, which is a computer security system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2145-2152
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• 2015

The existing CCTV has limitation such as problem on usage of the off-line type of recorded image for specific investigation, and requirement on interactive operator intervention for real-time surveillance. Therefore, it is required to develop the intelligent CCTV equipped with various functionalities in order to overcome drawbacks mentioned above. In this paper, implementation methods of image-based virtual fence were proposed by using the spline curves with supplied control for setup of surveillance area. In addition, pre-alarm region within the predefined distance was established with tangent and normal lines extracted from control points. The image-based virtual fence can be used for remote detection of intrusion and provision of real-time intrusion alarm, and can be expected to use in safety-related application areas including security and crime prevention.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.279-284
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• 2004

Fingerprints have been widely used in the biometric authentication because of its performance, uniqueness and universality. Recently, the speed of identification becomes a very important point in the fingerprint-based security applications. Also, the reliability still remains the main issue in the fingerprint identification. In this paper, we propose the fast and reliable fingerprint matching algorithm based on the process of the 'self-nonself' discrimination in the biological immune system. The proposed algorithm is organized by two-matching stage. The 1st matching stage does the matching process by the use of the 'self-space' and MHC detector string set that are generated from the minutiae and the values of the directional field. Then the 2nd matching stage is made based on the local-structure of the minutiae. The proposed two matching stage reduces matching time while the reliability of the matching algorithm is maintained.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.4
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• pp.57-70
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• 2021

This study aims to investigate the security demand about the traffic policing by analyzing civil complaints. Latent Dirichlet Allocation(LDA) was applied to extract key topics for 2,062 civil complaints data related to traffic policing from e-People. And additional analysis was made of reports of violations, which accounted for a high proportion. In this process, the consistency and convergence of keywords and representative documents were considered together. As a result of the analysis, complaints related to traffic police could be classified into 41 topics, including traffic safety facilities, passing through intersections(signals), provisional impoundment of vehicle plate, and personal mobility. It is necessary to strengthen crackdowns on violations at intersections and violations of motorcycles and take preemptive measures for the installation and operation of unmanned traffic control equipments, crosswalks, and traffic lights. In addition, it is necessary to publicize the recently amended laws a implemented policies, e-fine, procedure after crackdown.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.567-574
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• 2011

In this paper, we have designed and implemented a commercial web system for the future which resolves the necessary security and compatibility to the existing issues in various fields such as theater or the ball park that tickets are issued. The system presents the OTP (One Time Password) system using the mobile in order for defense in the bypass hacking technique such as screen hacking and for greater security. Also, we presents a smart ticketing system that improve the existing responsive hybrid web. It uses Non-ActiveX System which solve compatible problems with present systems that don't use ActiveX. Also, it is available in a variety of environments and equipment. In addition, the system provides an intelligent screen switching systems using the characteristics of mobile devices, an automatic discount system, and a venue information system which shows the shortest distance to the venue considering the commercial portion.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.117-127
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• 2020

Recently, proving insurance fraud has become increasingly difficult because it occurs intentionally and secretly via organized and intelligent conspiracy by specialists such as medical personnel, maintenance companies, insurance planners, and insurance subscribers. In the case of car accidents, it is difficult to prove intentions; in particular, an insurance company with no investigation rights has practical limitations in proving the suspicions. This paper aims reveal that the detection of organized and conspired insurance fraud, which had previously been difficult, could be dramatically improved through conspiring insurance fraud detection modeling using social network analysis and visualization of the relation between suspected group entities and by seeking developmental research possibilities of data analysis techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.3230-3253
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• 2017

Android malware steals users' private information, and embedded unsafe advertisement (ad) libraries, which execute unsafe code causing damage to users. The majority of such traffic is HTTP and is mixed with other normal traffic, which makes the detection of malware and unsafe ad libraries a challenging problem. To address this problem, this work describes a novel HTTP traffic flow mining approach to detect and categorize Android malware and unsafe ad library. This work designed AndroCollector, which can automatically execute the Android application (app) and collect the network traffic traces. From these traces, this work extracts HTTP traffic features along three important dimensions: quantitative, timing, and semantic and use these features for characterizing malware and unsafe ad libraries. Based on these HTTP traffic features, this work describes a supervised classification scheme for detecting malware and unsafe ad libraries. In addition, to help network operators, this work describes a fine-grained categorization method by generating fingerprints from HTTP request methods for each malware family and unsafe ad libraries. This work evaluated the scheme using HTTP traffic traces collected from 10778 Android apps. The experimental results show that the scheme can detect malware with 97% accuracy and unsafe ad libraries with 95% accuracy when tested on the popular third-party Android markets.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.1-15
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• 2005

As organizations search fur more secure authentication methods (Dr user access, e-commerce, and other security applications, biometrics is gaining increasing attention. Biometrics offers greater security and convenience than traditional methods of personal recognition. In some applications, biometrics can replace or supplement the existing technology. In others, it is the only viable approach. Several biometric methods of identification, including fingerprint hand geometry, facial, ear, iris, eye, signature and handwriting have been explored and compared in this paper. They all are well suited for the specific application to their domain. This paper briefly identifies and categorizes them in particular domain well suited for their application. Some methods are less intrusive than others.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.49-60
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• 2015

Smart Grid devices are the major components of the Smart Grid. They collect and process a variety informations relating power services and support intelligent power services by exchanging informations with other SG devices or systems. However, If a SG device is attacked, the device can provide attack route to attacker and attacker can attack other SG devices or systems using the route. It may cause problem in power services. So, when cyber incident is happened, we need to acquire and examine digital evidence of SG device quickly to secure availability of SG. In this paper, we designed remote evidence acquisition system to acquire digital evidences from SG devices to response quickly to incidents of SG devices. To achieve this, we analyzed operating environment of SG devices and thought remote digital evidence acquisition system of SG devices will be more effective than remote digital evidence acquisition system targeted general IT devices. So, we introduce design method for SG devices remote evidence acquisition system considered operating environment of SG devices.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.679-691
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• 2020

In the future, 5G technology will become the core infrastructure driving the 4th industrial era. For intelligent super-convergence service, it will be necessary to collect various personal information such as location data. If a person's high-precision location information is exposed by a malicious person, it can be a serious privacy risk. In the past, various approaches have been researched through encryption and obfuscation to protect location information privacy. In this paper, we proposed a new technique that enables statistical query and data analysis without exposing location information. The proposed method does not allow the original to be re-identified through polynomial-based transform processing. In addition, since the quality of the original data is not compromised, the usability of positioning big data can be maximized.